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2020 – today
- 2024
[j6]Michael Wiegand
, Marc Schulder, Josef Ruppenhofer:
Determining sentiment views of verbal multiword expressions using linguistic features. Nat. Lang. Eng. 30(2): 256-293 (2024)- [c60]Julia Maria Struß, Federico Ruggeri, Alberto Barrón-Cedeño, Firoj Alam, Dimitar Dimitrov, Andrea Galassi, Georgi Pachov, Ivan Koychev, Preslav Nakov, Melanie Siegel, Michael Wiegand, Maram Hasanain, Reem Suwaileh, Wajdi Zaghouani:
Overview of the CLEF-2024 CheckThat! Lab Task 2 on Subjectivity in News Articles. CLEF (Working Notes) 2024: 287-298 - [c59]Michael Wiegand, Josef Ruppenhofer:
Oddballs and Misfits: Detecting Implicit Abuse in Which Identity Groups are Depicted as Deviating from the Norm. EMNLP 2024: 2200-2218 - [e2]Pedro Henrique Luz de Araujo, Andreas Baumann, Dagmar Gromann, Brigitte Krenn, Benjamin Roth, Michael Wiegand:
Proceedings of the 20th Conference on Natural Language Processing, KONVENS 2024, Vienna, Austria, September 10-13, 2024. Association for Computational Linguistics 2024 [contents] - 2023
- [j5]Ralf Krestel, Udo Kruschwitz, Michael Wiegand, Theo Härder:
Editorial. Datenbank-Spektrum 23(1): 1-3 (2023) - [c58]Andrea Galassi, Federico Ruggeri, Alberto Barrón-Cedeño, Firoj Alam, Tommaso Caselli, Mücahid Kutlu, Julia Maria Struß, Francesco Antici, Maram Hasanain, Juliane Köhler, Katerina Korre, Folkert Leistra, Arianna Muti, Melanie Siegel, Mehmet Deniz Türkmen, Michael Wiegand, Wajdi Zaghouani:
Overview of the CLEF-2023 CheckThat! Lab: Task 2 on Subjectivity Detection. CLEF (Working Notes) 2023: 236-249 - [c57]Elisabeth Eder, Ulrike Krieg-Holz, Michael Wiegand:
A Question of Style: A Dataset for Analyzing Formality on Different Levels. EACL (Findings) 2023: 568-581 - [c56]Michael Wiegand, Jana Kampfmeier, Elisabeth Eder, Josef Ruppenhofer:
Euphemistic Abuse - A New Dataset and Classification Experiments for Implicitly Abusive Language. EMNLP 2023: 16280-16297 - 2022
- [c55]Juliane Köhler, Gautam Kishore Shahi, Julia Maria Struß, Michael Wiegand, Melanie Siegel, Thomas Mandl, Mina Schütz:
Overview of the CLEF-2022 CheckThat! Lab: Task 3 on Fake News Detection. CLEF (Working Notes) 2022: 404-421 - [c54]Preslav Nakov, Alberto Barrón-Cedeño, Giovanni Da San Martino, Firoj Alam, Julia Maria Struß, Thomas Mandl, Rubén Míguez, Tommaso Caselli, Mücahid Kutlu, Wajdi Zaghouani, Chengkai Li, Shaden Shaar, Gautam Kishore Shahi, Hamdy Mubarak, Alex Nikolov, Nikolay Babulkov, Yavuz Selim Kartal, Michael Wiegand, Melanie Siegel, Juliane Köhler:
Overview of the CLEF-2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection. CLEF 2022: 495-520 - [c53]Michael Wiegand, Rebecca Wilm, Katja Markert:
Biographically Relevant Tweets - a New Dataset, Linguistic Analysis and Classification Experiments. COLING 2022: 3669-3679 - [c52]Elisabeth Eder, Michael Wiegand, Ulrike Krieg-Holz, Udo Hahn:
"Beste Grüße, Maria Meyer" - Pseudonymization of Privacy-Sensitive Information in Emails. LREC 2022: 741-752 - [c51]Michael Wiegand, Elisabeth Eder, Josef Ruppenhofer:
Identifying Implicitly Abusive Remarks about Identity Groups using a Linguistically Informed Approach. NAACL-HLT 2022: 5600-5612 - 2021
- [j4]Benjamin Roth, Michael Wiegand:
Python for Linguists. Comput. Linguistics 47(1): 217-220 (2021) - [j3]Marc Schulder, Michael Wiegand, Josef Ruppenhofer:
Automatic generation of lexica for sentiment polarity shifters. Nat. Lang. Eng. 27(2): 153-179 (2021) - [c50]Michael Wiegand, Maja Geulig, Josef Ruppenhofer:
Implicitly Abusive Comparisons - A New Dataset and Linguistic Analysis. EACL 2021: 358-368 - [c49]Michael Wiegand, Josef Ruppenhofer:
Exploiting Emojis for Abusive Language Detection. EACL 2021: 369-380 - [c48]Julian Risch, Anke Stoll, Lena Wilms, Michael Wiegand:
Overview of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments. GermEval@KONVENS 2021: 1-12 - [c47]Michael Wiegand, Josef Ruppenhofer, Elisabeth Eder:
Implicitly Abusive Language - What does it actually look like and why are we not getting there? NAACL-HLT 2021: 576-587 - [e1]Julian Risch, Anke Stoll, Lena Wilms, Michael Wiegand:
Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments, GermEval@KONVENS 2021, Düsseldorf, Germany, September 6, 2021. Association for Computational Linguistics 2021 [contents] - 2020
- [c46]Esther van den Berg, Katharina Korfhage, Josef Ruppenhofer, Michael Wiegand, Katja Markert:
Doctor Who? Framing Through Names and Titles in German. LREC 2020: 4924-4932 - [c45]Marc Schulder, Michael Wiegand, Josef Ruppenhofer:
Enhancing a Lexicon of Polarity Shifters through the Supervised Classification of Shifting Directions. LREC 2020: 5010-5016
2010 – 2019
- 2019
- [c44]Julia Maria Struß, Melanie Siegel, Josef Ruppenhofer, Michael Wiegand, Manfred Klenner:
Overview of GermEval Task 2, 2019 Shared Task on the Identification of Offensive Language. KONVENS 2019 - [c43]Michael Wiegand, Margarita Chikobava, Josef Ruppenhofer:
A Supervised Learning Approach for the Extraction of Sources and Targets from German Text. KONVENS 2019 - [c42]Michael Wiegand, Leonie Lapp, Josef Ruppenhofer:
A Descriptive Analysis of a German Corpus Annotated with Opinion Sources and Targets. KONVENS 2019 - [c41]Michael Wiegand, Josef Ruppenhofer, Thomas Kleinbauer:
Detection of Abusive Language: the Problem of Biased Datasets. NAACL-HLT (1) 2019: 602-608 - [c40]Michael Wiegand, Maximilian Wolf, Josef Ruppenhofer:
Detecting Derogatory Compounds - An Unsupervised Approach. NAACL-HLT (1) 2019: 2076-2081 - 2018
- [c39]Marc Schulder, Michael Wiegand, Josef Ruppenhofer:
Automatically Creating a Lexicon of Verbal Polarity Shifters: Mono- and Cross-lingual Methods for German. COLING 2018: 2516-2528 - [c38]Josef Ruppenhofer, Michael Wiegand, Rebecca Wilm, Katja Markert:
Distinguishing affixoid formations from compounds. COLING 2018: 3853-3865 - [c37]Marc Schulder, Michael Wiegand, Josef Ruppenhofer, Stephanie Köser:
Introducing a Lexicon of Verbal Polarity Shifters for English. LREC 2018 - [c36]Michael Wiegand, Sylvette Loda, Josef Ruppenhofer:
Disambiguation of Verbal Shifters. LREC 2018 - [c35]Michael Wiegand, Josef Ruppenhofer, Anna Schmidt, Clayton Greenberg:
Inducing a Lexicon of Abusive Words - a Feature-Based Approach. NAACL-HLT 2018: 1046-1056 - 2017
- [c34]Anna Schmidt, Michael Wiegand:
A Survey on Hate Speech Detection using Natural Language Processing. SocialNLP@EACL 2017: 1-10 - [c33]Michael Wiegand, Maximilian Wolf, Josef Ruppenhofer:
Negation Modeling for German Polarity Classification. GSCL 2017: 95-111 - [c32]Marc Schulder, Michael Wiegand, Josef Ruppenhofer, Benjamin Roth:
Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features. IJCNLP(1) 2017: 624-633 - [c31]Josef Ruppenhofer, Petra Steiner, Michael Wiegand:
Evaluating the morphological compositionality of polarity. RANLP 2017: 625-633 - 2016
- [c30]Michael Wiegand, Marc Schulder, Josef Ruppenhofer:
Separating Actor-View from Speaker-View Opinion Expressions using Linguistic Features. HLT-NAACL 2016: 778-788 - [c29]Michael Wiegand, Christine Bocionek, Josef Ruppenhofer:
Opinion Holder and Target Extraction on Opinion Compounds - A Linguistic Approach. HLT-NAACL 2016: 800-810 - 2015
- [j2]Michael Wiegand, Dietrich Klakow:
Detecting conditional healthiness of food items from natural language text. Lang. Resour. Evaluation 49(4): 777-830 (2015) - [c28]Michael Wiegand, Josef Ruppenhofer:
Opinion Holder and Target Extraction based on the Induction of Verbal Categories. CoNLL 2015: 215-225 - [c27]Michael Wiegand, Benjamin Roth, Dietrich Klakow:
Combining Pattern-Based and Distributional Similarity for Graph-Based Noun Categorization. NLDB 2015: 64-72 - [c26]Josef Ruppenhofer, Jasper Brandes, Petra Steiner, Michael Wiegand:
Ordering adverbs by their scaling effect on adjective intensity. RANLP 2015: 545-554 - [c25]Michael Wiegand, Marc Schulder, Josef Ruppenhofer:
Opinion Holder and Target Extraction for Verb-based Opinion Predicates - The Problem is Not Solved. WASSA@EMNLP 2015: 148-155 - 2014
- [c24]Michael Wiegand, Dietrich Klakow:
Separating Brands from Types: an Investigation of Different Features for the Food Domain. COLING 2014: 2291-2302 - [c23]Josef Ruppenhofer, Michael Wiegand, Jasper Brandes:
Comparing methods for deriving intensity scores for adjectives. EACL 2014: 117-122 - [c22]Michael Wiegand, Benjamin Roth, Dietrich Klakow:
Automatic Food Categorization from Large Unlabeled Corpora and Its Impact on Relation Extraction. EACL 2014: 673-682 - [c21]Melanie Reiplinger, Michael Wiegand, Dietrich Klakow:
Relation Extraction for the Food Domain without Labeled Training Data - Is Distant Supervision the Best Solution? PolTAL 2014: 345-357 - [i6]Benjamin Roth, Tassilo Barth, Michael Wiegand, Mittul Singh, Dietrich Klakow:
Effective Slot Filling Based on Shallow Distant Supervision Methods. CoRR abs/1401.1158 (2014) - 2013
- [j1]Michael Wiegand, Manfred Klenner, Dietrich Klakow:
Bootstrapping polarity classifiers with rule-based classification. Lang. Resour. Evaluation 47(4): 1049-1088 (2013) - [c20]Benjamin Roth, Tassilo Barth, Michael Wiegand, Dietrich Klakow:
A survey of noise reduction methods for distant supervision. AKBC@CIKM 2013: 73-78 - [c19]Michael Wiegand, Dietrich Klakow:
Towards Contextual Healthiness Classification of Food Items - A Linguistic Approach. IJCNLP 2013: 19-27 - [c18]Michael Wiegand, Josef Ruppenhofer, Dietrich Klakow:
Predicative Adjectives: An Unsupervised Criterion to Extract Subjective Adjectives. HLT-NAACL 2013: 534-539 - [i5]Benjamin Roth, Tassilo Barth, Michael Wiegand, Mittul Singh, Dietrich Klakow:
Effective Slot Filling Based on Shallow Distant Supervision Methods. TAC 2013 - 2012
- [c17]Michael Wiegand, Dietrich Klakow:
Generalization Methods for In-Domain and Cross-Domain Opinion Holder Extraction. EACL 2012: 325-335 - [c16]Michael Wiegand, Benjamin Roth, Dietrich Klakow:
Data-driven knowledge extraction for the food domain. KONVENS 2012: 21-29 - [c15]Michael Wiegand, Benjamin Roth, Eva Lasarcyk, Stephanie Köser, Dietrich Klakow:
A Gold Standard for Relation Extraction in the Food Domain. LREC 2012: 507-514 - [c14]Simon Clematide, Stefan Gindl, Manfred Klenner, Stefanos Petrakis, Robert Remus, Josef Ruppenhofer, Ulli Waltinger, Michael Wiegand:
MLSA - A Multi-layered Reference Corpus for German Sentiment Analysis. LREC 2012: 3551-3556 - [c13]Michael Wiegand, Benjamin Roth, Dietrich Klakow:
Web-Based Relation Extraction for the Food Domain. NLDB 2012: 222-227 - [i4]Benjamin Roth, Grzegorz Chrupala, Michael Wiegand, Mittul Singh, Dietrich Klakow:
Generalizing from Freebase and Patterns using Cluster-Based Distant Supervision for TAC KBP Slotfilling 2012. TAC 2012 - 2011
- [b1]Michael Wiegand:
Hybrid approaches for sentiment analysis. Saarland University, 2011 - [c12]Michael Wiegand, Dietrich Klakow:
Convolution Kernels for Subjectivity Detection. NODALIDA 2011: 254-261 - [c11]Michael Wiegand, Dietrich Klakow:
Prototypical Opinion Holders: What We can Learn from Experts and Analysts. RANLP 2011: 282-288 - [i3]Fang Xu, Stefan Kazalski, Grzegorz Chrupala, Benjamin Roth, Xujian Zhao, Michael Wiegand, Dietrich Klakow:
Saarland University Spoken Language Systems Group at TAC KBP 2011. TAC 2011 - 2010
- [c10]Michael Wiegand, Alexandra Balahur, Benjamin Roth, Dietrich Klakow, Andrés Montoyo:
A survey on the role of negation in sentiment analysis. NeSp-NLP@ACL 2010: 60-68 - [c9]Michael Wiegand, Dietrich Klakow:
Predictive Features for Detecting Indefinite Polar Sentences. LREC 2010 - [c8]Michael Wiegand, Dietrich Klakow:
Convolution Kernels for Opinion Holder Extraction. HLT-NAACL 2010: 795-803 - [i2]Grzegorz Chrupala, Saeedeh Momtazi, Michael Wiegand, Stefan Kazalski, Fang Xu, Benjamin Roth, Alexandra Balahur, Dietrich Klakow:
Saarland University Spoken Language Systems at the Slot Filling Task of TAC KBP 2010. TAC 2010
2000 – 2009
- 2009
- [c7]Michael Wiegand, Dietrich Klakow:
Topic-Related Polarity Classification of Blog Sentences. EPIA 2009: 658-669 - [c6]Michael Wiegand, Dietrich Klakow:
The Role of Knowledge-based Features in Polarity Classification at Sentence Level. FLAIRS 2009 - [c5]Michael Wiegand, Dietrich Klakow:
Predictive Features in Semi-Supervised Learning for Polarity Classification and the Role of Adjectives. NODALIDA 2009: 198-205 - 2008
- [c4]Michael Wiegand, Dietrich Klakow:
Optimizing Language Models for Polarity Classification. ECIR 2008: 612-616 - [c3]Michael Wiegand, Jochen L. Leidner, Dietrich Klakow:
Cost-Sensitive Learning in Answer Extraction. LREC 2008 - [i1]Michael Wiegand, Saeedeh Momtazi, Stefan Kazalski, Fang Xu, Grzegorz Chrupala, Dietrich Klakow:
The Alyssa System at TAC QA 2008. TAC 2008 - 2007
- [c2]Michael Wiegand, Jochen L. Leidner, Dietrich Klakow:
Combining term-based and event-based matching for question answering. SIGIR 2007: 715-716 - [c1]Dan Shen, Michael Wiegand, Andreas Merkel, Stefan Kazalski, Sabine Hunsicker, Jochen L. Leidner, Dietrich Klakow:
The Alyssa System at TREC QA 2007: Do We Need Blog06? TREC 2007
Coauthor Index
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